ABSTRACT
OBJECTIVE: Previous investigations of the relationship between obesity and difficult airway management have provided mixed results. Almost universally, these studies were conducted in the hospital setting, and the influence of patient body weight on successful prehospital airway management remains unclear. Because patient weight could be one readily identifiable risk factor for problematic airway interventions, we sought to evaluate this relationship. METHODS: We conducted a retrospective analysis using the 2020 ESO Data Collaborative dataset. The inclusion criteria consisted of adult patients weighing >30kg with an attempted orotracheal intubation (OTI) and/or blind insertion airway device (BIAD) placement. Separate logistic regression models were developed to determine the influence of weight (dichotomized at 100 kg) on cumulative procedure success for OTI and BIAD, and linear regression models were used to identify trends for each across weight strata. RESULTS: A total of 45,344 patients met inclusionary criteria, among which 40,668(89.7%) suffered from a medical emergency, followed by 3,130(6.9%) with traumatic injuries, and 1,546(3.4%) attributable to a combined medical-trauma etiology. Cardiac arrest occurred either prior to EMS arrival or at some point during EMS care in 38,210(84.3%) patients. OTI was attempted in 18,153(40.0%) patients, while 21,597(47.6%) had a BIAD attempt and 5,594(12.3%) had both airway types attempted. The overall cumulative insertion success rates for OTI and BIAD were 79.5% and 92.7%, respectively. Altogether, 2,711(6.0%) had no advanced airway of any type successfully placed, which represents the overall failed advanced airway rate. After controlling for patient age, sex, minority status, and call type (medical vs. trauma), weight >100kg was associated with decreased likelihood of cumulative OTI success (OR = 0.64, p < 0.001), but higher likelihood of cumulative BIAD success (OR = 1.31, p < 0.001). Cumulative OTI success was associated with a negative 0.6% linear trend per 5 kg of body weight (p < 0.001) while cumulative BIAD success had a 0.2% positive trend (p < 0.001). CONCLUSION: This retrospective analysis of a national EMS database revealed that increasing patient weight was negatively associated with intubation success. A positive, but smaller, linear trend was observed for BIAD placement. Patient weight may be an easily identifiable predictor of difficult oral intubation and may be a consideration when selecting an airway management strategy.
ABSTRACT
INTRODUCTION: Recently, burnout has amassed considerable attention because of deleterious effects on workers and the work environment. Frequently, EMS clinicians find themselves prone to experiencing burnout, yet little is known about etiologies in this population. OBJECTIVE: To estimate prevalence and predictors of burnout in EMS clinicians. METHODS: This was a cross-sectional survey study of nine EMS agencies from North Carolina selected based on geography and population. Emergency medical technicians (EMTs), advanced EMTs, and paramedics were included. Emergency medical responders and air medical personnel were excluded if those positions were a primary occupational function. The Professional Quality of Life (ProQOL) Scale was used to assess burnout. Parametric and nonparametric testing was used to assess factors potentially affecting burnout. Factors significant in univariate analyses were included in a hierarchical linear regression model to determine unique predictors of burnout while controlling for confounders. The area under the curve (AUC) of the receiver operating characteristic (ROC) was used to determine model predictability. RESULTS: A total of 686 EMS clinicians completed the survey. Overall, 57.3% (n = 393) were likely to have burnout. Of the 328 respondents who were likely to have burnout, 254 (77.4%) and 211 (75.1%) also were identified as likely to suffer from compassion fatigue or vicarious trauma, respectively. Overall, 152 (22.2%) were likely to suffer from all three stress disorders, 118 (56.5%) of which scored high enough to potentially produce immune system dysregulation. Prior suicidal thoughts ((sr2 = 0.042, p < 0.001), attempts (sr2 = 0.025, p < 0.001) or the presence of vicarious trauma (sr2 = 0.040, p < 0.001) accounted for 4.2%, 2.5%, and 4.0% of model variance, respectively. Years of field experience (sr2 = 0.035, p < 0.001) and credential level (sr2 = 0.011, p = 0.005) accounted for 4.6% of model variance. Finally, a respondent's experience or knowledge of debriefing (sr2 = 0.008, p = 0.023); experiencing adversity in childhood in the form of familial mental illness, depression, or suicide (sr2 = 0.009, p = 0.016); or the incarceration of a family member (sr2 = 0.010, p = 0.011) accounted for a combined 2.7% of model variance. Model predictability showed an AUCROC of 81.5%. CONCLUSIONS: This study showed a nearly 60% prevalence of occupational burnout in the group of EMS clinicians surveyed, making burnout of considerable concern in this population. Further study is needed to address occupational factors that contribute to burnout in EMS clinicians.